Representing, querying and transforming social networks with RDF/SPARQL

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Abstract

As social networks are becoming ubiquitous on the Web, the Semantic Web goals indicate that it is critical to have a standard model allowing exchange, interoperability, transformation, and querying of social network data. In this paper we show that RDF/SPARQL meet this desiderata. Building on developments of social network analysis, graph databases and Semantic Web, we present a social networks data model based on RDF, and a query and transformation language based on SPARQL meeting the above requirements. We study its expressive power and complexity showing that it behaves well, and present an illustrative prototype. © 2009 Springer Berlin Heidelberg.

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San Martín, M., & Gutierrez, C. (2009). Representing, querying and transforming social networks with RDF/SPARQL. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5554 LNCS, pp. 293–307). https://doi.org/10.1007/978-3-642-02121-3_24

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